ПЕРЦЕПЦИЈА КВАЛИТЕТА Е-УЧЕЊА У ВИСОКОМ ОБРАЗОВАЊУ: SEM-ANN ПРИСТУП
DOI:
https://doi.org/10.22190/TEME220929005RKljučne reči:
квалитет, Е-учење, пандемија, високо образовање, SEM-ANNApstrakt
Пандемија је изазвала мере закључавања широм света које су приморале човечанство да прибегне онлајн алтернативама у скоро свакој људској активности, што је био случај и са образовним системом. Ово истраживање има за циљ да развије нови интегрисани модел за одређивање предиктора квалитета е-учења током COVID-19 пандемије. Овај рад обезбеђује развој традиционалног приступа заснованог на моделирању структурних једначина (SEM) у методу предвиђања засновану на вештачкој неуронској мрежи (ANN). У овом истраживању је учествовало 1.254 студената Универзитета у Београду. Резултати показују да иницијатива управе факултета има најважнији утицај и значај у предвиђању перцепције квалитета електронског учења током пандемије. Истовремено, предиктор „сигурност информација“ има најмање значајан утицај. Резултати доприносе подизању свести академске заједнице и твораца политика о потреби да се више баве квалитетом е-образовања, посебно у ванредним ситуацијама као што је пандемија. Предложена комбинација конструката који предвиђају квалитет е-учења никада није анализирана у претходним истраживањима применом SEM-ANN методологије, што представља додатни допринос ове студије.
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